PROJECT TITLE :

Throughput-Maximizing Transmission Schedules for Underwater Acoustic Multihop Grid Networks

ABSTRACT:

Several marine scientific, industrial, and military applications could need the deployment of underwater acoustic sensor networks for sensing and monitoring. A grid topology with multihop relaying is helpful for wide space coverage along with long distance data transmission. We have a tendency to investigate network architectures where knowledge originate at one finish of the grid, and are forwarded along multiple lines. We are notably inquisitive about transmission schedules that maximize network throughput by exploiting propagation delay to permit multiple simultaneous transmissions. We show that an optimal schedule is necessarily per-node fair, and derive the upper certain on throughput. Furthermore, we gift a coffee-complexity algorithm to find schedules achieving the higher certain, no matter the size of the network.